AI ENGINEER - [IFE214]
Responder al anuncio- Design groundbreaking AI solutions and develop prototypes that drive the future of Duckbill's user-facing experience.
- Leverage the latest innovations in AI and ML to provide a hyper-personalized experience to our users, including the development of high-engagement recommendation systems.
- Build tools to maximize the output and quality of our human personal assistants (copilots), reimagining the collaboration between humans and machines in the virtual assistant space.
- Automate task execution by leveraging the entire AI stack, from traditional ML to the latest LLM-agent frameworks.
- Improve human task execution quality by enhancing our intelligent information retrieval systems, utilizing search and RAG techniques.
- Contribute to our operations team's excellence by building smart monitoring and intervention systems.
- Enhance our AI ops stack by designing and improving our evaluation frameworks, allowing the team to iterate on prompts, models, and approaches with both agility and thoroughness.
- Enhance our human annotation flow stack to enable leveraging our human resources for annotation, model comparison, and golden dataset generation.
- Maximize the value extracted from our proprietary data using state-of-the-art techniques (fine-tuning, RLHF, RAG, etc. ), critically contributing to the defensibility of our AI strategy.
Minimum Requirements:
- 4+ years of experience in an ML engineering role.
- Proficiency in machine learning, with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Modeling. Specialized knowledge in recommender systems is a plus.
- Strong engineering skills in Python and data manipulation skills in SQL.
- Solid knowledge of the main patterns in ML model deployment, both online (API-based) and offline (batch jobs), with the ability to design production-grade solutions.
- Experience with the entire MLOps stack, especially in experiment/model performance tracking and model monitoring in production.
- Strong product and business intuition, with a deep understanding of what makes an ML project a business success.
- Interest and foundational knowledge in the LLM space.
Company Overview:
American startup based in the USA focused on the personal assistant market.
Salary: Salary depends on experience, between 50, 000 - 70, 000€.
Work Environment: Remote work 3/4 days per week.
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